Abstract: Embodiments are directed to homomorphic encryption for machine learning and neural networks using high-throughput Chinese remainder theorem (CRT) evaluation. An embodiment of an apparatus includes a hardware accelerator to receive a ciphertext generated by homomorphic encryption (HE) for evaluation, decompose coefficients of the ciphertext into a set of decomposed coefficients, multiply the decomposed coefficients using a set of smaller modulus determined based on a larger modulus, and convert results of the multiplying back to an original form corresponding to the larger modulus.

Abstract: The disclosed techniques include at least one computer-implemented method performed by a system. The system can receive a textual query and process query features of the textual query to identify a color profile indicative of a color intent of the query. The system can identify candidate images that at least partially match the desired content and color intent of the query. The system can further order candidate images based in part on a similarity of a candidate color profile for each candidate image with the identified color profile of the query, and output image data indicative of the ordered set of candidate images.

Abstract: In one embodiment, a chromatic device includes a transparent conductive substrate, an active layer provided on the conductive substrate, the active layer comprising a conducting polymer, an electrolyte layer in contact with the conductive substrate and the active layer, the electrolyte comprising an oxidant and a salt but not comprising an acid, and a metal element configured to be selectively placed in and out of direct electrical contact with the conductive substrate or the active layer, wherein the active layer has a color that blocks light when the metal element is not in electrical contact with the conductive substrate but changes to a translucent color that transmits light when the metal element is placed in electrical contact with the conductive substrate or the active layer, wherein the active layer changes color without applying external energy to the active layer.

Abstract: A reactor system configured for efficiently removing contaminants (CCR, nickel, vanadium, nitrogen, sodium, iron, calcium, chlorine etc.) from a heavy portion of the crude oil. The products are routed to a common main fractionation section. The heavy feed with lower contaminants may then be processed in a fluid catalytic cracking (FCC) unit, the overall concept employing a fluid catalytic reaction platform with carbon rejection approach. Also disclosed is a reactor system for efficiently processing crude oil in a fluid catalytic cracking unit with a dual-reactor and dual catalyst system to maximize petrochemical building blocks such as ethylene, propylene, butylenes, BTX (benzene, toluene and xylene) rich naphtha from a variety of crude oils.

Abstract: In one embodiment, a flexible composite conducting polymer film includes a composite conducting polymer including a conducting polymer and one or more water-soluble polyanions, wherein the film is approximately 20 nanometers to 10 microns thick.

Abstract: A system and method for identifying relevant content from other documents and presenting candidate documents/content in a document authoring application is described. A computer-implemented method includes performing an analysis of text of a document being authored by a user with a document authoring application, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and including an instance of the selected candidate document or candidate content in the document.

Abstract: The present disclosure relates generally to modulators of Cot (cancer Osaka thyroid) and methods of use and manufacture thereof.

Abstract: Using container information to select containers for executing models is described. A system receives a request from an application and identifies a version of a machine-learning model associated with the request. The system identifies a set of each serving container corresponding to the machine-learning model from a cluster of available serving containers associated with the version of the machine-learning model. The system selects a serving container from the set of each serving container corresponding to the machine-learning model. If the machine-learning model is not loaded in the serving container, the system loads the machine-learning model in the serving container. If the machine-learning model is loaded in the serving container, the system executes, in the serving container, the machine-learning model on behalf of the request. The system responds to the request based on executing the machine-learning model on behalf of the request.

Abstract: Compounds for use in the treatment of human immunodeficiency virus (HIV) infection are disclosed. The compounds have the following Formula (I): including stereoisomers and pharmaceutically acceptable salts thereof, wherein L, R1, R5, W, X, Y1, Y2, and Z are as defined herein. Methods associated with preparation and use of such compounds, as well as pharmaceutical compositions comprising such compounds, are also disclosed.

Abstract: A computing node to implement a management entity in a CP-based network. The node including processing circuitry configured to encode an inquiry message requesting information on CPS capabilities. Response messages are received from a set of sensing nodes of a plurality of sensing nodes in response to the inquiry message. The response messages include the information on the CPS capabilities of the set of sensing nodes. A notification message indicating selecting of a sensing node as a sensing coordinator is encoded for transmission. Sensed data received in a broadcast message from the sensing coordinator is decoded. The sensed data including data associated with one or more non-V2X capable sensing nodes.

Abstract: A system is provided for performing a cleaning process of a component of a vehicle. The system includes a first cleaning applicator configured to deliver a cleaning agent to a first surface of the component of the vehicle, a second cleaning applicator configured to deliver the cleaning agent to a second surface of the component of the vehicle, a third cleaning applicator configured to deliver the cleaning agent to a third surface of the component of the vehicle, and a control unit configured to instruct each of the first, second, and third cleaning applicators to project the cleaning agent onto the respective surface of the component for a corresponding predetermined period. The first, second, and third applicators are instructed to project the cleaning agent in a predetermined sequence.

Abstract: In one example an apparatus comprises a computer readable memory; and a signature module to generate a set of cryptographic keys for attestation of group member devices and a set of leaf nodes in a sub-tree of a Merkle tree corresponding to the set of cryptographic keys, forward the set of leaf nodes to a group manager device, receive, from the group manager device, a subset of intermediate nodes in the Merkle tree, the intermediate nodes being common to all available authentications paths through the Merkel tree for signatures originating in the sub-tree, and determine a cryptographic key that defines an authentication path through the Merkle tree, the authentication path comprising one or more nodes from the set of leaf nodes and one or more nodes from the intermediate nodes received from the group manager device. Other examples may be described.

Abstract: Various embodiments disclosed herein provides method and system for low latency FPGA based system for inference such as recommendation models. Conventional models for inference have high latency and low throughput in decision making models/processes. The disclosed method and system exploits parallelism in processing of XGB models and hence enables minimum possible latency and maximum possible throughput. Additionally, the disclosed system uses a trained model that is (re)trained using only those features which the model had used during training, remaining features are discarded during retraining of the model. The use of such selected set of features thus leads to reduction in the size of digital circuit significantly for the hardware implementation, thereby greatly enhancing the system performance.

Abstract: Systems and methods are provided for provided for automatic evaluation of a human embryo. An image of the embryo is obtained and provided to a neural network to generate a plurality of values representing the morphology of the embryo. The plurality of values representing the morphology of the embryo are evaluated at an expert system to provide an output class representing one of a current quality of the embryo, a future quality of the embryo, a likelihood that implantation of the embryo will be successful, and a likelihood that implantation of the embryo will result in a live birth.

Abstract: Embodiments of the invention are directed to systems and methods that enable authentication of a user via an authentication application that is different than a wallet application that is being used to process a transaction. The wallet application may contain payment devices and/additional wallet applications.

Abstract: Using container and model information to select containers for executing models is described. A system receives a request from an application and identifies a version of a machine-learning model associated with the request. The system identifies model information associated with machine learning models corresponding to a cluster of available serving containers associated with the version of the machine-learning model. The system uses the model information to select a serving container from the cluster of available serving containers. If the machine-learning model is not loaded in the serving container, the system loads the machine-learning model in the serving container. If the machine-learning model is loaded in the serving container, the system executes, in the serving container, the machine-learning model on behalf of the request. The system responds to the request based on executing the machine-learning model on behalf of the request.

Abstract: Techniques for connectivity issue remediation are provided. A first link trace message is automatically transmitted from a source end point to a destination end point. A first topology graph is generated for a network based on the first link trace message. Presence of a loop is detected in the network. A second link trace message is then transmitted from the source end point to the destination end point, and a second topology graph is automatically generated for the network based on the second link trace message. An edge in the network that caused the loop is identified based on comparing the first and second topology graphs.

Abstract: Provided is a system and method for verifying a blockchain using an external audit chain. The system may include an engine which facilitates communication between two or more independent blockchains. In one example, the method may include reading block data of a source data block that is stored among a hash-linked chain of data blocks on a blockchain, verifying a hash of the source block based on the block data that is read, generating a token based on the hash verification of the source block and storing the generated token in a verification block among the hash-linked chain of blocks on the blockchain to create a verification point on the blockchain, and storing a copy of the generated token in a block among a hash-linked chain of blocks on an audit blockchain that is independent from the blockchain.

Abstract: An electronic circuit for thin-film transistors, the circuit including: a driving TFT; an input signal; a compensation TFT provided between gate and source terminals of the driving TFT; a storage TFT provided between the input signal and the gate of the driving TFT; a plurality of switching TFTs configured to charge the storage TFT from the input signal in one cycle and then charge the compensation TFT from the storage TFT during another cycle, such that the compensation TFT compensates for degradation of the driving TFT. An opto-electronic fabrication method including: forming an opto-electronic device on a growth substrate; temporarily bonding the opto-electronic device to a carrier substrate; removal of the growth substrate; etching the opto-electronic device to a predetermined height; coating the opto-electronic device with a functional metal layer; bonding the opto-electronic device onto a final receiver substrate; and removing the carrier substrate.

Abstract: Techniques that provide link establishment between a radio equipment controller (REC) and a radio equipment (RE) in a fronthaul network are described herein. In one embodiment, a method includes performing, Common Public Radio Interface (CPRI) Layer 1 (L1) link auto-negotiation operations to establish a CPRI link between the REC and RE. A proxy slave may achieve a hyper frame number (HFN) synchronization with the REC at a link bit rate for a first CPRI bit stream and communicate the first CPRI bit stream and the link bit rate to a proxy master. The proxy master may communicate a second CPRI bit stream to the proxy slave to transmit to the REC. The L1 link auto-negotiation operations are completed and CPRI link is established between the REC and the RE when the REC achieves a HFN synchronization for the second CPRI bit stream.